SARMA 2012 Sharp statistical tools

First Page		Document Content
Date: 2012-10-16 13:43:30 Spatial data analysis Variogram Kriging Covariance function Regression analysis Covariance Geographic coordinate system Standard deviation Statistics Geostatistics Covariance and correlation		SARMA 2012 Sharp statistical tools Add to Reading List Source URL: www.nrcse.washington.edu Download Document from Source Website File Size: 45,47 KB Share Document on Facebook

	Spatial Gaussian Process (GP) models for Massive Geostatistical Datasets Spatial Gaussian Process (GP) models—subsume kriging—for point-referenced geospatial datasets provide a statistically valid framework for predi DocID: 1sJDW - View Document
	Tenke-Fungurume Dynamic unfolding-complex geology case study of Tenke-Fungurume deposits by Justin Cardwell and Alyson Cartwright DocID: 1roOC - View Document
	OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS . DocID: 1rica - View Document
	Reservoir Modeling with GSLIB Introduction to GSLIB • • DocID: 1rgx6 - View Document
	CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422 DocID: 1rftp - View Document